spike

To validate an idea before full-scale development, decompose it into 2-5 independent feasibility questions, run lightweight research on parallel spikes, and generate runnable artifacts to surface tradeoffs and reduce risk.

A feasibility spike in software development is a structured, lightweight experiment that tests a specific question, producing a runnable artifact and a clear verdict to inform decision making before production.

You can run parallel spikes to compare technical approaches by breaking your idea into independent questions, executing lightweight research concurrently, and evaluating the resulting runnable artifacts to surface tradeoffs.

The best way to structure a prototype spike workflow is to ensure the process is self-contained and reproducible: decompose the idea, perform research, build artifacts, and record outcomes to deliver a clear verdict with actionable next steps.

Yes, you can use spike workflows for complex research and feasibility testing by decomposing intricate ideas into independent questions and coordinating parallel experimentation to deliver actionable verdicts.

You should not use a spike for prototype validation when your idea cannot be decomposed into independent feasibility questions or when you need full-scale implementation rather than lightweight research and runnable artifacts.